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Sunkyung Park

5 accepted papers

2025

Efficient Gradient-Based Inference for Manipulation Planning in Contact Factor Graphs

ICRA 2025

This paper presents a framework designed to tackle a range of planning problems arise in manipulation, which typically involve complex geometric-physical reasoning related to contact and dynamic constraints. We introduce the Contact Factor Graph (CFG) to graphically model these diverse factors, enab

Cited by 1Source ↗Scholar ↗
2024

Collision Detection between Smooth Convex Bodies via Riemannian Optimization Framework

IROS 2024poster

Collision detection is a fundamental problem across various fields such as robotics, physical simulation, and computer graphics. While numerous studies have provided efficient solutions, based on the well-known Gilbert, Johnson, and Keerthi (GJK) algorithm and Expanding Polytope Algorithm (EPA), exi…

Cited by 7Source ↗Scholar ↗